Trajectory tracking of under-actuated ships based on optimal sliding mode control with state observer

被引:17
|
作者
Li, Zongxuan [1 ]
Bu, Renxiang [1 ]
机构
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
基金
中国国家自然科学基金;
关键词
Trajectory tracking; Sliding mode control; Backstepping; Extended state observer; CONTROL-SYSTEM;
D O I
10.1016/j.oceaneng.2021.109186
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
An optimal sliding mode control (SMC) with state observer is presented for trajectory tracking of under-actuated ships with the model uncertainties, environmental disturbances, input constraints and optimization. Firstly two backstepping virtual control laws are designed by the kinematic model to convert trajectory tracking into heading control and surge velocity control. Then, according to the Norrbin model and the correlation coefficient between surge velocity and propeller revolution, a heading model and a surge velocity model are established respectively. Meanwhile, two extended state observers are built based on the hyperbolic tangent function with clear bounded meaning, which estimate model uncertainties and disturbances. The nonlinear SMC is used to control heading and surge velocity, which embeds the control laws, namely rudder angle and propeller revolution, in a cost function. This cost function is solved with input limits to address the input optimization, amplitude and increment constraints. Finally, the stability analysis is provided, and the simulations show that the ship can track trajectory successfully in case of the disturbances and constraints. These results demonstrate the feasibility and effectiveness of this method.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Path following of under-actuated ships based on model predictive control with state observer
    Zongxuan Li
    Ronghui Li
    Renxiang Bu
    [J]. Journal of Marine Science and Technology, 2021, 26 : 408 - 418
  • [2] Path following of under-actuated ships based on model predictive control with state observer
    Li, Zongxuan
    Li, Ronghui
    Bu, Renxiang
    [J]. JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2021, 26 (02) : 408 - 418
  • [3] Trajectory tracking of a mobile robot with frictions and uncertainties using hierarchical sliding-mode under-actuated control
    Hwang, Chih-Lyang
    Wu, Hsiu-Ming
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2013, 7 (07): : 952 - 965
  • [4] Trajectory Planning and Sliding-Mode Velocity Control for an Under-Actuated Hovercraft Vehicle
    Proehl, Lukas
    Aschemann, Harald
    [J]. IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2021,
  • [5] Finite-Time Formation Control of Under-Actuated Ships Using Nonlinear Sliding Mode Control
    Li, Tieshan
    Zhao, Rong
    Chen, C. L. Philip
    Fang, Liyou
    Liu, Cheng
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (11) : 3243 - 3253
  • [6] On Trajectory Tracking for an Under-actuated Helicopter
    Li Junfang
    Li Yi
    Gao Qiang
    Sun Mingwei
    Chen Zengqiang
    [J]. PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 10944 - 10949
  • [7] Fuzzy Decentralized Sliding-Mode Under-Actuated Trajectory-Tracking Control for Quadrotor Unmanned Aerial Vehicle
    Hwang, Chih-Lyang
    Jan, Chau
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012,
  • [8] Hybrid Fuzzy Sliding-Mode Under-Actuated Control for Trajectory Tracking of Mobile Robot in the Presence of Friction and Uncertainty
    Hwang, Chih-Lyang
    Wu, Hsiu-Ming
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012,
  • [9] Iterative sliding mode control based on reinforced learning and used for path tracking of under-actuated ship
    Shen Z.
    Dai C.
    [J]. Shen, Zhipeng (shenbert@dlmu.edu.cn), 1600, Editorial Board of Journal of Harbin Engineering (38): : 697 - 704
  • [10] A Sliding Mode Tracking Control for Under-actuated Surface Vessel Based on Pre-set Performance
    Fu, Mingyu
    Yu, Yang
    Xu, Yujie
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 3151 - 3156